Senior Data Scientist (Fraud)
- Location
- Greater London, England, United Kingdom
models for fraud detection; own their ongoing monitoring and retraining cycles. Experimentation: Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction. Risk Assessment: Size fraud typologies across our product lines to inform prioritisation and investment decisions. System Maintenance: Build … if... A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar) 5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime Hands‐on experience building and deploying machine learning models ...